AI
DHTMLX MCP Server
for AI Coding Assistants
Connect AI coding assistants to authoritative DHTMLX documentation and APIs for precise, context-aware development, powered by the official DHTMLX MCP Server.
What is a Model Context Protocol Server
The Model Context Protocol (MCP) is a standard that enables AI tools to retrieve authoritative, up-to-date knowledge
from external sources,
rather than relying solely on their training data.
For DHTMLX, MCP acts as a bridge between your AI coding assistant and the official DHTMLX documentation. Through this AI coding assistant integration, the assistant can query the DHTMLX MCP server to access real API references, configuration options, and usage examples directly from the docs. This trusted, privacy-first AI integration helps reduce outdated or guessed answers and ensures responses always reflect the current version of DHTMLX components, giving developers more reliable results they can depend on.
Built for AI-Powered DHTMLX
Development Workflows
Onboarding and rapid prototyping for developers
DHTMLX MCP server helps you explore components, integrate them into projects, and build quick prototypes faster.
With built-in demonstration prompts, AI generates accurate examples and explanations based on official docs,
reducing the learning curve.
AI-powered migration between versions
When upgrading DHTMLX components, MCP supports out-of-the-box migration prompts that guide AI tools using
version-specific documentation. This makes updates safer, clearer, and less error-prone.
Debugging and code quality and performance review
Using debugging prompts, MCP enables AI-assisted troubleshooting and code reviews justified by the official
documentation, helping you catch issues and avoid misleading recommendations.
Power Your Workflow
with DHTMLX MCP Server
Always up-to-date DHTMLX knowledge
DHTMLX MCP server provides AI coding assistants with direct, on-demand access to the official documentation
and smart RAG system, ensuring responses are based on the latest APIs, configuration options, and component
behavior, rather than outdated training data.
Prompt
I want to add icons to milestones in gantt.
Click to copy
Reliable code, reduced AI hallucinations
The DHTMLX MCP server keeps AI answers grounded in the official documentation, so you don’t get outdated
examples or misleading suggestions. Instead of guessing, the AI knows when to be cautious, especially in
complex scenarios. If something isn’t clear, it falls back to documented guidance or points you to DHTMLX
tech support, helping you avoid false confidence and trust the answers you get.
Prompt
How do I add custom validation to DHTMLX Form? Use the docs.
Click to copy
Real DHTMLX development workflows
Whether you’re generating MVP examples for demonstration, debugging an issue, or migrating between
DHTMLX versions, MCP enables AI assistance that aligns with real-world DHTMLX development workflows.
We’ve designed our MCP server for developers around how they actually work with DHTMLX components,
not just isolated API calls.
Prompt
Using DHTMLX, create a Kanban widget with a Chatbot modal overlay so users can manage the Kanban board via the Agent at Chatbot.
Click to copy
Supported by Different AI Coding Tools
Enable LLM-powered developer tools and AI agents for frontend development to access DHTMLX documentation and APIs. Reduce outdated recommendations and accelerate development with smarter AI assistance.
Set Up with Claude Code
Configured as a Claude Code MCP server, DHTMLX MCP reduces outdated suggestions and improves code accuracy in Claude Code workflows.
Set Up with Cursor
The DHTMLX MCP server enables seamless Cursor AI MCP integration, giving Cursor direct access to DHTMLX APIs and usage examples.
Set Up with Gemini CLI
With Gemini CLI MCP support, it can connect to the DHTMLX MCP Server, allowing the CLI to access DHTMLX documentation, API references, and usage examples.
DHTMLX MCP Server:
Frequently Asked Questions
General
Support & Feedbacks
Pricing
Privacy
General
What is a Model Context Protocol (MCP) server?
A Model Context Protocol server lets AI tools retrieve up-to-date, authoritative knowledge
from external sources instead of relying solely on their training data. The DHTMLX MCP server
provides AI coding assistants with direct access to DHTMLX documentation and APIs and a smart
RAG (Retrieval-Augmented Generation) system that finds requested information.
How do I get access to the DHTMLX MCP server?
The MCP server is hosted at https://docs.dhtmlx.com/mcp You can connect supported AI tools by adding this URL in their MCP or context settings.
What AI Assistants are supported?
The DHTMLX MCP server works with AI tools that support the Model Context Protocol. Official setup guides are available for Claude Code, Cursor, Gemini CLI, Antigravity (Google), and ChatGPT. Other MCP-compatible AI assistants may also be able to connect using the MCP server URL.
How do the DHTMLX APIs and the AI agent communicate?
The AI agent queries the MCP server for documentation, configuration options, and examples. Responses are retrieved in real-time, ensuring the AI can generate accurate, context-aware code.
What are some prompts I can use with the DHTMLX MCP server?
Example prompts include:
- Using DHTMLX docs, show me how to implement drag and drop in Scheduler
- Check DHTMLX MCP for Gantt task editing configuration
- How do I add custom validation to DHTMLX Form? Use the docs
Note that the clearer and more detailed your instructions, the more accurate your results will be.
What are some examples of what I can do with this?
You can generate MVP examples, debug code, review and improve code quality, migrate between
versions, or quickly prototype components using reliable DHTMLX documentation. Here, for
example, we’ve generated a
code snippet with DHTMLX Kanban and Chatbot widgets based on OpenAI API.
What are the technical requirements to use the DHTMLX MCP server?
You can connect DHTMLX MCP server with any AI coding tool that supports Model Context Protocol. Most setups require entering the MCP server URL in the tool’s configuration and, in some cases, restarting the application.
Support & Feedbacks
Where can I find documentation for the DHTMLX MCP server?
Official documentation is available at the DHTMLX AI tools (MCP) guide.
Where can I share feedback or get support?
You can contact DHTMLX at info@dhtmlx.com for feedback or questions.
Where can I get help if I encounter issues with DHTMLX MCP?
For troubleshooting, refer to the official documentation or contact DHTMLX support.
Pricing
Does DHTMLX MCP server cost money?
The DHTMLX MCP server is available for DHTMLX customers. For commercial or no-logging options, contact DHTMLX.
Do all DHTMLX customers have access to the MCP server?
Yes, all customers can connect supported AI tools to the MCP server.
Are there rate limits?
For large-scale usage, consult DHTMLX support.
Privacy
Is DHTMLX MCP server secure?
The MCP server is hosted and does not run locally. It does not access your files or personal data.
Will the DHTMLX MCP server have access to sensitive data?
No. Queries may be logged for debugging or service improvement, but personal or project files are not accessed. Commercial no-logging options are available.